Countries where authors publish in Probability Theory and Related Fields
Since Specialization
Citations
This map shows the geographic impact of research published in Probability Theory and Related Fields. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers published in Probability Theory and Related Fields with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Probability Theory and Related Fields more than expected).
Fields of papers published in Probability Theory and Related Fields
This network shows the impact of papers published in Probability Theory and Related Fields. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Probability Theory and Related Fields.
About Probability Theory and Related Fields
The 4.6k papers published in Probability Theory and Related Fields in the last decades have received a total of 103.8k indexed citations . Papers published in Probability Theory and Related Fields usually cover Mathematical Physics (2.5k papers), Statistics and Probability (1.4k papers), Finance (1.1k papers), Applied Mathematics (802 papers) and Discrete Mathematics and Combinatorics (151 papers) specifically the topics of Stochastic processes and statistical mechanics (1.6k papers), Stochastic processes and financial applications (990 papers), Mathematical Dynamics and Fractals (725 papers), Markov Chains and Monte Carlo Methods (633 papers), Theoretical and Computational Physics (478 papers), Probability and Risk Models (444 papers), Random Matrices and Applications (442 papers) and advanced mathematical theories (348 papers). The most active scholars publishing in Probability Theory and Related Fields are Murad S. Taqqu, Péter Major, Persi Diaconis, Jim Pitman, Moshe Zakai, Étienne Pardoux, Franco Flandoli, David A. Freedman, Volker Strassen and Jean Jacod.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.